Job Location: Remote
Overview: Milo’s Tea Company is one of the fastest growing beverage companies in the US. Our culture and operations are built on the belief that we can make a difference in the world. That’s why we put People First and strive to continually reduce our environmental impact on the planet. We leverage our world class operations and decades-long distribution partnerships to grow the footprint of our core products and create new, innovative beverage products.
- We are the #1 and fastest growing brand in the Refrigerated Tea Category in the nation.
- Our core mission is that we put people and the planet first and by doing this, it will be good for our business.
- We are committed to unlocking the personal genius of every associate and have a strong focus on growth and learning.
- Our Company is women-led (our Executive Team is 57% female) and strongly committed to Diversity, Inclusion and Belonging.
- We are committed to annual charitable giving by delivering upon our 1% profit pledge.
- We are Platinum Certified in Zero Waste Manufacturing; recycling, reducing, and reusing 95% of waste at all facilities.
Being a part of the Milo’s TEAm, you’ll get to collaborate with a group of passionate and high-performing people, where everyone feels empowered to do their best work and feels good about the work they’re doing.
And as a “People First” company, Milo’s is committed to the success and well-being of our associates, customers, and fans, no matter their gender, race or creed. Some of the benefits offered that reflect our commitment include:
- Competitive salary with bonus opportunities
- 100% paid medical insurance for our associates and their families
- 401K with a company match
- Partial tuition reimbursement assistance
- A robust parental leave program
- Paid time off to volunteer at the charity of your choice
- Employee assistance program
Responsibilities: The Data Scientist is responsible for assisting with data visualization, analysis, and reporting activities to identify business needs and create solutions to solve these needs.
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Responsibilities: *
- Identify business needs, determine possible solutions, and develop solutions that include systems components, and process improvements with data driven decision making.
- Work with business groups to design and develop reporting and analytics solutions that will improve efficiency and effectiveness.
- Strategizes and identifies unique opportunities to locate and collect new data, explores and mines data from many angles, and determines what it means.
- Develop reporting capabilities to support business needs by creating and supporting SQL queries, and other data interfaces.
- Explores ways to enhance data quality, reliability, and legibility.
- Finds and recommends new uses for existing data sources; designs, modifies, and builds new data processes.
- Develop data analytics, reports, and dashboards using Power BI and other business intelligence tools.
- Uphold and participate in all Corporate Responsibility programming including recycling, social advocacy and MMAD volunteering opportunities.
- Invest in and is an example of Milo’s Responsibility commitment which includes environmental, social, and corporate governance components.
Supervisory: This role does not have supervisory responsibilities.
Qualifications:
- BA in computer science, information systems, statistics, applied math, or any other related field. Up to 2 years of experience in information systems or related field.
- Strong experience with SQL server solutions (queries, functions, stored procedures, views, etc.).
- Cloud based computing and data solutions experience.
- Proficient with Excel and Business Intelligence tools (Power BI, Power Query, Tableau, etc.).
- Understanding of relational databases and data warehouses.
- Experience with Microsoft SQL stack (SSIS, SSRS, SSAS, etc); Experience with cloud-based data technologies, Azure preferred.
- Other desirable skills include: Experience working in a SharePoint environment; Experience with Salesforce, Experience with data extraction and ETL, as well as an understanding of database administration. Experience with Python, R or other programming languages. Experience in non-traditional SQL (noSQL, etc.) solutions.
- Experience with machine learning and predictive analytics.
- Experience in manufacturing or consumer packaged goods.
Job Type: Full-time
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